I'm a Computer Science Engineering student at KIIT University (graduating April 2027), specializing in Full-Stack Development and AI/ML Engineering — with a passion for building systems that are not just smart, but actually useful in production.

With hands-on experience in:

• 🤖 LLM Engineering — RAG pipelines, prompt engineering, agent architectures, MCP protocol
• 🌐 Full-Stack Development — React, TypeScript, Spring Boot, REST APIs, OAuth, SaaS
• 🧠 AI/ML Systems — NLP, sentiment analysis, document vision, voice agents
• ☁️ Cloud & DevOps — Docker, Supabase, PostgreSQL, Cloudinary, n8n

I build end-to-end solutions — from model integration to backend APIs to intuitive frontends.

📍 Based in: India
📚 Always learning: LLM fine-tuning, distributed systems, competitive programming

React • TypeScript • Spring Boot • Supabase • PostgreSQL • Razorpay

Production-deployed SaaS for AI-powered image processing with tiered subscriptions, OAuth authentication, a public REST API, and Razorpay payment integration. Built with Remove.bg API + Cloudinary for media management and n8n for workflow automation.

Python • Faster-Whisper • Piper TTS • LangChain • Document Vision

End-to-end local voice agent pipeline integrating VAD → STT → LLM → TTS. Combines document vision (Surya/Chandra) with a RAG backbone to enable spoken Q&A over scanned documents — entirely offline-capable.

Python • BERT • Scikit-learn • FastAPI • Kafka • Docker

Production-grade NLP API for real-time sentiment classification using TF-IDF + BERT/HuggingFace models. Features Kafka-based event streaming and Docker containerization for scalable deployment.

Python • LLM • RAG

AI-powered assistant for DSA interview prep — provides hints, explanations, and step-by-step walkthroughs for algorithmic problems using retrieval-augmented generation.

• 🥇 Top 15,000 — Google India Big Code 2026
• 💼 Vocational Training — Tata Steel, Office of the CIO